{"product_id":"machine-learning-with-python-for-everyone","title":"MACHINE LEARNING WITH PYTHON FOR EVERYONE","description":"\u003cp\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Mark Fenner\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBrand:\u003c\/b\u003e PEARSON EDUCATION\u003c\/p\u003e\u003cp\u003e\u003cb\u003eColor:\u003c\/b\u003e Blue\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEdition:\u003c\/b\u003e First Edition\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBinding:\u003c\/b\u003e paperback\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNumber Of Pages:\u003c\/b\u003e 504\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRelease Date:\u003c\/b\u003e 15-02-2020\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDetails:\u003c\/b\u003e Students are crushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine learning with Python for everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.Reflecting 20 years of experience teaching non-specialists, the author teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, the book presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical “code-alongs,” and easy-to-understand images -- focusing on Mathematics only where it’s necessary to make connection and deepen insight.\u003cbr\u003e\ntable of Contents:\u003cbr\u003e\nChapter 1: Let’s discuss learning\u003cbr\u003e\nChapter 2: predicting categories: getting started with classification\u003cbr\u003e\nChapter 3: predicting numerical values: getting started with regression\u003cbr\u003e\nChapter 4: evaluating and comparing learners\u003cbr\u003e\nChapter 5: evaluating classifiers\u003cbr\u003e\nChapter 6: evaluating Regressors\u003cbr\u003e\nChapter 7: more classification methods\u003cbr\u003e\nChapter 8: more regression methods\u003cbr\u003e\nChapter 9: manual feature engineering: manipulating data for fun and Profit\u003cbr\u003e\nChapter 10: models that engineer features for us\u003cbr\u003e\nChapter 11: feature engineering for domains: domain-specific learning online chapters\u003cbr\u003e\nChapter 12: tuning hyperparameters and pipelines\u003cbr\u003e\nChapter 13: combining learners\u003cbr\u003e\nChapter 14: connecting, extensions, and further directions\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEAN:\u003c\/b\u003e 9789353944902\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePackage Dimensions:\u003c\/b\u003e 9.9 x 8.0 x 1.1 inches\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLanguages:\u003c\/b\u003e English\u003c\/p\u003e","brand":"PEARSON EDUCATION","offers":[{"title":"Default Title","offer_id":51306666393904,"sku":"UDH_9789353944902","price":645.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/81gPCpfZpnL.jpg?v=1775578650","url":"https:\/\/www.retailmaharaj.com\/bn\/products\/machine-learning-with-python-for-everyone","provider":"Retail Maharaj","version":"1.0","type":"link"}